guest@rygg.ai: ~ — rygg 0.9 — 96×40exit to rygg.ai

Last login: today on ttys001 · rygg by leefs · type help when the session is ready

guest@rygg.ai ~ % rygg

# human-centered context graph for organizations, products and AI agents

Decisions need context.
So do agents.

rygg makes your organization’s knowledge about its users explicit: one maintained graph for the whole organization, for product development and for AI agents.

rygg is Swedish and Norwegian for backbone.

guest@rygg.ai ~ % rygg layers

L1 ontology
[licensed] Which concepts exist and how they relate, from context of use to metric. Managed by us, with our method network.
L2 context
[yours, maintained] User groups, tasks, conditions, needs and requirements of your context of use.
L3 evidence
[yours, maintained] Findings, decisions, metrics. Each with a status: evidence or assumption.

# step 1: license the ontology · step 2: add research, evaluation and evidence

guest@rygg.ai ~ % rygg trace TC-31 --why

[*] TC-31 Test braking distance on a wet road [ai suggestion · awaiting review]

  • L1 Concept: Safety requirement ontology
  • L2 REQ-114 Braking distance, wet road context
  • L3 Finding P-22 · tested evidence

-> approval stays with people. # sample data

guest@rygg.ai ~ % rygg chain

  1. Context of use Conditions · User groups · Tasks · Current scenarios
  2. User requirements Needs · User requirements
  3. Solution Design solutions · Design decisions
  4. Evaluation Evaluation measures · Evaluation findings
  5. Metrics Metrics

# every metric traces back to an observation. more

guest@rygg.ai ~ % rygg use-cases

[h] Human-centered Enterprise
A shared model of what the organization does, for whom and why, from apprentice to board.
[v] Human-centered Product Development
Activities and decisions in product development focused on outcomes for users, and through them on economic results.
[*] AI-augmented Engineering
Agents in engineering, documentation and service that ask the graph instead of making assumptions.

guest@rygg.ai ~ % rygg offer --list

[h] Evidence
Research and design to HCRD standards. Results are documented so they can become part of a graph. [project]
[~] Pilot
Four to eight weeks, one slice of your organization, one product line or one agent task as a graph. [4 to 8 weeks]
[v] Graph
A maintained domain model of your context of use, validated against HCRD standards with every release. [subscription, 12 months minimum]
[*] Context Layer
We run the graph as a knowledge layer for your agents and embed Research & Design Engineers in your teams. [framework agreement, 12 months minimum]

# pricing on request · legend: [h] human [~] ai working [v] verified [*] ai suggestion

guest@rygg.ai ~ % rygg start

Next step: a free starting point session. [ok]

-> find your starting point

Commands: help, ls, layers, trace, chain, use-cases, offer, pricing, contact, about, start, cd followed by a command or page, clear, exit.